Page 17 - BENTLEY SYSTEMS PR REPORT - JULY 2025_Neat

8/1/25, 1:18 PM Water-a-environment - How can AI help solve water management challenges? - Technical Review Middle East
Additionally, Bentley software has been used by The Federal Electricity & Water
Authority (FEWA) in Ras Al Khaimah on their AED 24.75 million project which
sought to build a new water transmission and distribution network, providing
potable water service to more than 20,000 people living in the six villages of Wadi
Shaam.

The network had to cross difficult terrain. Using Bentley advanced technology
allowed FEWA to analyse the data and optimise the models, given the physical
constraints. FEWA completed the design one month in advance, reduced pipe
lengths by 20%, and saved AED 500,000.

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Leveraging iTwin and OpenFlows with AI and machine learning, PUB developed their high-fidelity
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How important is it to have transparent data and AI solutions that can
benefit software engineering applications in the long run?
Slavco Velickov: We operate under three key principles for Generative AI:
Control—users retain full control over their data and decide if, when, and how it's
used, exclusively for their benefit. Contribute—users can choose to contribute
anonymised data for collective AI model training if they wish, but it's their choice.
Trust—we are transparent about how we create our AI models and how we
source the data used to train them.
Our iTwin platform is designed to be open and interoperable, enabling users to
bring together data from various sources without being locked in.
That ensures connecting people and data. Our open data ecosystem approach is
crucial for transparency and ensuring the user has full visibility and control. We
also invest heavily in cybersecurity to safeguard that data, recognising that the
integrity of the digital infrastructure is as important as the physical.
For example, in our AI-powered digital twin applications, anomaly detection
models are paired with visualisation and contextual data so that users can
understand why an alert was triggered and how it was derived from the data.
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